SkillsLib.ai

Tariff Design Optimizer

Design and validate complex utility rate structures with revenue reconciliation

3.8(23 reviews)
100+ downloads
Updated Nov 2026
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What You Can Do

You can transform revenue requirements into defensible rate structures by modeling load profiles, calculating cost allocations, and simulating rate impacts across customer segments. The skill helps you identify cross-subsidy flows, draft compliant rate schedules, and document design rationale for regulatory filings—turning tariff design from a linear process into an iterative optimization cycle.

Features

Revenue Requirement Translation

Convert approved revenue requirements into rate structure components with mathematical precision

Cost Allocation Modeling

Apply embedded cost of service or marginal cost methodologies across residential, commercial, industrial, and specialty customer classes

Cross-Subsidy Analysis

Quantify and visualize unintended subsidy flows between customer segments to ensure equitable rate design

Load Profile Integration

Incorporate historical billing data and demand forecasts to model realistic consumption patterns and rate impacts

Rate Schedule Drafting

Generate clear, legally precise tariff language with all required terms, conditions, and effective dates

Scenario Simulation

Test rate impacts under different demand scenarios, seasonal variations, and customer behavior assumptions

Regulatory Compliance Validation

Check proposed rates against cost recovery requirements, rate design principles, and jurisdiction-specific standards

Design Documentation

Build defensible design exhibits and rationale statements for regulatory hearings and public filings

Example Output

Example 1: Cost Allocation Summary

code
Residential Class:
- Allocated Cost: $45.2M (58%)
- Peak Demand Share: 42%
- Energy Share: 65%
- Proposed Revenue: $46.8M
- Cost Recovery Ratio: 1.035x

Commercial Class:
- Allocated Cost: $28.1M (36%)
- Peak Demand Share: 45%
- Energy Share: 30%
- Proposed Revenue: $27.3M
- Cost Recovery Ratio: 0.971x

Example 2: Cross-Subsidy Alert Residential customers subsidizing EV charging by $2.1M annually due to demand-only allocation method. Recommend demand + energy hybrid approach to reduce subsidy to $0.8M.

Example 3: Rate Schedule Excerpt Schedule RSC (Residential Service - Current): Base Charge: $18.50/month Energy Charge: $0.1247/kWh (flat) Demand Charge (if >15kW peak): $12.40/kW-month

What's Included

  • SKILL.md instruction file with rate design methodology and validation frameworks:
  • Cost Allocation Template: Excel-ready structure for embedding service study data and calculating class-specific allocations
  • Cross-Subsidy Analysis Checklist: Step-by-step guide for identifying and quantifying subsidy flows
  • Rate Schedule Drafting Framework: Standard tariff language templates for common rate structures (fixed-variable, TOU, inclining block, demand response)
  • Regulatory Compliance Validation Worksheet: Checklist of cost recovery, rate design principles, and jurisdiction-specific requirements

Who It's For

  • Rate Analysts — Design and model tariff structures in regulated utility environments
  • Utility Planning Managers — Evaluate rate design alternatives for cost recovery and customer impact
  • Regulatory Affairs Specialists — Prepare tariff design exhibits and cost allocation documentation for filings
  • Energy Consultants — Advise municipal and cooperative utilities on rate structure optimization
  • Revenue Requirement Specialists — Translate approved revenue into rate design components with allocation precision

Best For

  • Designing new rate schedules or restructuring existing tariff classes
  • Allocating costs across residential, commercial, industrial, and specialty (EV, solar, storage) customer classes
  • Comparing multiple tariff design methodologies (embedded cost, marginal cost, hybrid approaches)
  • Modeling rate impacts and cross-subsidies under different demand and consumption scenarios
  • Drafting rate schedule language and preparing regulatory filing exhibits with design rationale

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